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mteb/IndonesianIdClickbaitClassification

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mteb/IndonesianIdClickbaitClassificationmteb/IndonesianIdCl…cc-by-4.0: declared licencecc-by-4.0declared licenceREADME.md ↗no licence file: found at top levelno licence fi…found at top levelfile list ↗
mteb/IndonesianIdClickbaitClassificationmteb/Indonesian…cc-by-4.0: declared licencecc-by-4.0declared licenceREADME.md ↗no licence file: found at top levelno licence fi…found at top levelfile list ↗
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Citation text from the card

@article{WILLIAM2020106231,
  abstract = {News analysis is a popular task in Natural Language Processing (NLP). In particular, the problem of clickbait in news analysis has gained attention in recent years [1, 2]. However, the majority of the tasks has been focused on English news, in which there is already a rich representative resource. For other languages, such as Indonesian, there is still a lack of resource for clickbait tasks. Therefore, we introduce the CLICK-ID dataset of Indonesian news headlines extracted from 12 Indonesian online news publishers. It is comprised of 15,000 annotated headlines with clickbait and non-clickbait labels. Using the CLICK-ID dataset, we then developed an Indonesian clickbait classification model achieving favourable performance. We believe that this corpus will be useful for replicable experiments in clickbait detection or other experiments in NLP areas.},
  author = {Andika William and Yunita Sari},
  doi = {https://doi.org/10.1016/j.dib.2020.106231},
  issn = {2352-3409},
  journal = {Data in Brief},
  keywords = {Indonesian, Natural Language Processing, News articles, Clickbait, Text-classification},
  pages = {106231},
  title = {CLICK-ID: A novel dataset for Indonesian clickbait headlines},
  url = {http://www.sciencedirect.com/science/article/pii/S2352340920311252},
  volume = {32},
  year = {2020},
}


@article{enevoldsen2025mmtebmassivemultilingualtext,
  title={MMTEB: Massive Multilingual Text Embedding Benchmark},
  author={Kenne

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dataset_licence({ "id": "mteb/IndonesianIdClickbaitClassification" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0